588 / 2019-03-01 07:16:09

Equity issues and the PeCUS index: an indirect analysis of community severance

Community severance,Open data,Pedestrian crossings,Equity,Transport barriers,Geographic information systems

全体主题 > Geographic Information Systems

As an alternative to the costly technologies and restricted-access data sometimes used to analyze urban barriers, we propose an analytical approach that assesses community severance levels by classifying the quality of Pedestrian Crossings on Urban Streets (the PeCUS index). Additionally, we identified possible inequities nearby the different classification groups regarding demographic data. We used the chi-square (χ²) test of independence and the standardized Pearson residuals to look for evidence of associations and dependence relationships between the variables. We found the following evidence of associations: residents with low-income or those aged up to 19 tend to live close to the worst crossings, whereas residents with permanent mobility constraints or the elderly tend to live near the crossings with the best classifications. Therefore, the study reveals that the distribution of residents is equitable for vulnerable social groups, except for low-income or young residents.